Practical Petrophysics: Volume 62

ISBN-13: 9780444632708 / Angielski / Twarda / 2015 / 420 str.

Kennedy, Martin

Opis

Practical Petrophysics looks at both the principles and practice of petrophysics in understanding petroleum reservoirs. It concentrates on the tools and techniques in everyday use, and addresses all types of reservoirs, including unconventionals. The book provides useful explanations on how to perform fit for purpose interpretations of petrophysical data, with emphasis on what the interpreter needs and what is practically possible with real data. Readers are not limited to static reservoir properties for input to volumetrics, as the book also includes applications such as reservoir performance, seismic attribute, geo-mechanics, source rock characterization, and more.

• Principles and practice are given equal emphasis
• Simple models and concepts explain the underlying principles
• Extensive use of contemporary, real-life examples

Spis treści

1. Introduction2. Petrophysical Properties3. Core and Other Real Rock Measurements4. Logs Part I: General Characteristics and Passive Measurements5. Logs Part II: Porosity, Resistivity and Other Tools6. Introduction to Log Analysis: Shale Volume and Parameter Picking7. Log Analysis I: Porosity8. Log Analysis II: Water Saturation9. Hydrocarbon Corrections10. Fluid Distribution11. Permeability Revisited12. Complex Lithology13. Thin Bed Pays: Dealing with the Limitations of Log Resolution14. Geophysical Applications15. Epilogue: High Angle Wells

O autorze

Professor Kennedy obtained his BSc (Hons) at University of Canterbury, and his PhD in bacterial genetics at the University of Auckland and carried out postdoctoral research in leukemia genetics at the Laboratory of Molecular Biology, Cambridge (UK) before returning to University of Otago, Christchurch in 1991. Professor Martin Kennedy's main research interests are psychiatric genetics, pharmacogenomics, and the genetics of complex disease. His current research largely focuses on pharmacogenomics, which aims to understand how drugs and genes interact with the goal of improving drug treatments and reducing adverse drug reactions. For example, analysis of genetic variation in genes such as those that encode drug metabolizing liver enzymes like CYP2D6 and CYP2C19, is helping to determine genetic factors that impact on response to treatments for various diseases.